Accepted Courses

Organizer:

Course Website: http://bit.ly/peer-review-tutorial

Description: A key challenge for people that are new to reviewing is pitching the review at the right level, and getting the tone and structure of a review right. This course aims to help participants understand a) the different expectations of different venues and submission types, b) the processes they use to make decisions, and c) good techniques for producing a review for these different circumstances. Combined with pre-workshop training videos provided via SIGCHI’s Youtube Channel, the practical work of this course will involve: 1) critiquing anonymised but real reviews (as a senior reviewer), and 2) constructing prototype reviews based on advice (as a reviewer).

Organizer:

Course Website: https://www.geraldinefitzpatrick.com/bringing-a-coaching-mindset-to-supervision-and-leadership/

Description: Developing people is a key part of our work as academics, whether as leaders, managers or supervisors. Yet we are rarely trained how to play these roles. Responsibility can weigh heavily to give the right advice and have the answers. Is this the best approach? This course will offer a set of practical conversational techniques that focus on the power of good listening and asking good questions. Such a coaching mindset is much more effective for helping people develop as independent resourceful academics/researchers. It also means you doing less to achieve more.

Organizer:

Course Website: https://chi2025.chicourse.com/

Description: Writing high-quality research papers is crucial for advancing your academic career. With the advent of generative artificial intelligence (AI) tools, researchers now have novel ways to improve their writing, literature reviews, and overall paper quality. This course, delivered in person at CHI 2025 in Yokohama, Japan, offers a practical exploration of how to use AI tools effectively throughout the research writing process. Over three interactive 75-minute sessions, participants will learn to apply AI tools to edit their writing, brainstorm ideas, and enhance their paper’s readability and impact. Through hands-on activities and peer discussions, attendees will gain the skills needed to produce high-impact CHI papers that meet publication standards. This course emphasizes using AI to support writing, structuring research, and refining contributions, providing attendees with practical tools and insights to succeed in academic publishing in the field of Human-Computer Interaction.

Organizers:

Course Website: https://sites.google.com/view/modeling-chi25/home

Description: This course introduces computational cognitive modeling for researchers and practitioners in the field of HCI. Cognitive models use computer programs to model how users perceive, think, and act in human-computer interaction. They offer a powerful approach for understanding interactive tasks and improving user interfaces. This course starts with a review of classic approaches to cognitive modeling. It then rapidly progresses to introducing computational rationality, which uses modern modeling approaches powered by machine learning methods, in particular deep reinforcement learning. The course is built around hands-on Python programming using notebooks.

Organizers:

Course Website: https://drive.google.com/drive/folders/1ovKg-z-hppRUFjE0jHNTtGn1ZUbKLfy-?usp=share_link

Description: This course explores how researchers and practitioners can engage ethically with Indigenous communities when developing AI and data-intensive applications. Some key issues such as fair engagement, legal constraints, reciprocity, and informed consent are discussed based on the examples draw from the instructors’ experience. The course also examines good practices in terms of co-designing and co-development processes, data governance and sovereignty issues and systems, decolonial software licensing, and processes of technology transfer and appropriation. In its practical part, the course critically discusses examples and cases gathered from the audience to explore the diversity of issues and solutions when working with Indigenous communities.

Organizers:

Course Website: https://sketchhci.wordpress.com

Description: Sketching is one of few analogue skills that retains its power in a world where technology is king. Why? Because sketching is more than just the generation of visuals – sketching employs the mind to make sense of the world around us, it works through our problems, inspires others, presents information and even brings joy. By harnessing the power of sketching for your own research, study or practice, you enable an externalisation of human thought, which can be shared, adapted and built upon. In this course we invite you to ’take a line for a walk’ but bring yourself along for the ride. Sketch alongside us as we guide you through a journey of discovery, enabling you to go on to share you knowledge with others. It starts with a scribble…

Organizers:

Course Website: https://ex-situ.lri.fr/workshops/comparative-structured-observation

Description: What happens when your design concept is already well established and you want to see whether or not your design is on the right track, or which of several design variants makes most sense to users? You are not interested in testing a hypothesis, but instead, you want to gather focused, useful feedback from users that either supports your current design direction or helps you decide what to change. This course presents a qualitative method called Comparative Structured Observation (CSO) (Mackay & McGrenere, 2025) which takes advantage of the structure of controlled experiments to generate comparable, ecologically relevant experiences with two or more design variants. Course participants will first learn the basic principles that comprise a CSO study, with examples from the research literature and a discussion of what constitutes appropriate and inappropriate study designs. Participants will then work in small groups and, with help from the instructors, design concrete CSO studies. Participants are encouraged to bring their own designs they are struggling to assess, but the instructors will also provide other examples to explore. The course will conclude with a discussion of relevant analysis methods.

Organizers:

Course Website: https://www.wearableslaboratory.com/

Description: HCI uses psychological, physiological, and behavioral (i.e. psychophysiological) signals to study user experience and for implicit interaction. Signal acquisition requires understanding of measurement principles that guide interpretation. Psychophysiology considers psychological states and physiological activity to uncover the bidirectional ways that the mind and body intersect. This course features psychophysiological principles, signal acquisition, processing, and interpretation, and hands-on activities. Common signals include heart rate (HR), accelerometry, respiration, brainwaves (EEG), skin conductance (GSR), muscles (EMG), eye-tracking, and sleep (PSG). This year showcases electrocardiography (ECG) and heart rate variability (HRV). Participants will enhance their understanding and ability to use psychophysiology in HCI applications.

Organizers:

Course Website: https://revisit.dev

Description: Running online user studies can be done using commercial survey tools or building custom software. However, these methods have limitations and require significant labor. This course introduces reVISit, an open-source alternative that streamlines study design. ReVISit eliminates tedious tasks by providing built-in components for UI, data hosting, participant recruiting, and more. Study designers can focus on research questions and stimulus design using a domain-specific language to quickly create studies as static websites. Throughout the course, participants will develop and deploy an interactive, fully instrumented study, improving their skills through hands-on experience with reVISit.

Organizers:

Course Website: www.chici.org/EvalCourse2025

Description: While evaluating technology with adults is well understood, evaluating interactive technology with child users has received far less attention and raises a range of unusual and unexpected challenges. With more children than ever before using interactive technology on a daily basis, this course, for practitioners and researchers, aims to provide a succinct and useful introduction to evaluating technology with children. The course begins with the developmental and ethical challenges of working with children, then covers a range of foundational evaluation techniques, along with how techniques are used and how results are reported both in publications and to child audiences.

Organizers:

Course Website: https://lab.plopes.org/projects/estim-course.html

Description: Electrical stimulation is now becoming one of the key approaches to creating haptic sensations in interactive experiences. The recent rise of this approach has allowed many HCI researchers to push haptics into more and more domains, including when devices need to be small, portable, or even wearable. At its core, all these techniques share one underlying principle from neuroscience: they act on the users’ nervous system to create sensations electrically. As such, using these techniques requires not only getting hands-on experience with hardware, but also learning the fundamental principles, safety, and their possibilities and limitations. In our course, participants will get hands-on experience in using these technologies via hardware toolkits that we will supply.

Organizers:

Course Website: https://bit.ly/3C9yGve

Description: Regardless of what area of computer-human interaction, psychology, computer science, or human factors you may be most closely part of, a solid understanding of research methods drawing from the traditions of experimental psychology and human factors will serve you well—as a student, practitioner, or instructor. Our aim in designing this workshop is to provide a primer on research methods for people with limited experience and which can be a refresher for those with substantial experience. The course is intended to be highly interactive and will provide opportunities for using the techniques we will discuss. This course builds on what we have learned from the successful 2022 CHI course Research Methods for People in a Hurry.

Organizers:

Course Website: sites.google.com/view/buildyourairobot-chi2025

Description: How can we design robots that intuitively understand and respond to human needs? This interdisciplinary course bridges robotics and human-computer interaction, teaching participants to build and program a Raspberry Pi-based robot controllable through flexible natural language prompts. Students will gain hands-on experience in rapid prototyping, computer vision, 3D sensing, and natural language processing, culminating in the creation of an interactive prompt-controlled navigation robot. By emphasizing practical HCI applications and intuitive user interface design, the course prepares students for the growing field of human-robot interaction, equipping them with valuable skills for designing next-generation interactive systems.

Organizers:

Course Website: http://www.speech-interaction.org/CHI2025course

Description: HCI research has for long been dedicated to better and more nat- urally facilitating information transfer between humans and ma- chines. Unfortunately, humans’ most natural form of communi- cation, speech, is also one of the most difficult modalities to be understood by machines – despite, and perhaps, because it is the highest-bandwidth communication channel we possess. As signifi- cant research efforts in engineering have been spent on improving machines’ ability to understand speech, research is only begin- ning to make the same improvements in understanding how to appropriately design these speech interfaces to be user-friendly and adoptable. Issues such as variations in error rates when pro- cessing speech, and difficulties in learnability and explainability (to name a few), are often in contrast with claims of success from industry. Along with this, designers themselves are making the transition to designing for speech and voice-enabled interfaces. Recent research has demonstrated the struggle for designers to translate their current experiences in graphical user interface de- sign into speech interface design. Research has also noted the lack of any user-centered design principles or consideration for usability or usefulness in the same ways as graphical user interfaces have benefited from heuristic design guidelines. The goal of this course is to inform the CHI community of the current state of speech and natural language research, to dispel some of the myths surrounding speech-based interaction, as well as to inform participants about currently existing design tools, meth- ods and resources for speech interfaces (and provide hands-on experience with working with them). Through this, we hope that HCI researchers and practitioners will learn how to combine re- cent advances in speech processing with user-centred principles in designing more usable and useful speech-based interactive systems.

Organizers:

Course Website: https://mit-mi.github.io/courses/chi2025/

Description: A significant body of research in HCI today has focused on applying AI to sense, learn, and interact with humans through a wide range of wearable and ubiquitous sensors. These methods all involve learning features from multimodal sensory data using AI methods. To aid HCI researchers who want to apply AI to their sensing problems, this course will cover the fundamental challenges and approaches in multimodal AI for human sensing and interaction. It is planned for 3 parts, one given by each organizer. The first covers the foundations of multimodal AI, studying how AI systems can represent, combine, and learn information from many interconnected sensory inputs. The second part covers the practice of multimodal AI for human sensing, with the latest methods, application domains, and real-world concerns around their usage. The final part covers the hardware and data collection challenges required to physically deploy these multimodal AI systems in the real world. By the end of this course, attendees should understand the fundamental principles and challenges of multimodal AI, identify the right AI approaches for their problems, prototype basic hardware systems for efficient and robust sensing, be aware of real-world concerns around ethics, interpretability, and privacy, and appreciate the range of applications enabled by multimodal AI and sensing.

Organizers:

Course Website: –

Description: This course will empower the attendees to confidently navigate the changing landscape of UX research. We will equip them with the foundational knowledge and practical skills to harness the power of AI while maintaining a human-entered approach. Attendees will learn how to a) ask the right questions and frame research objectives that get to the heart of user needs, with AI in the mix b) choose the best methods to master the research fundamentals to guide AI, avoid bias, and ensure meaningful results, and c) learn to level up the impact by translating AI-generated insights into actionable design decisions that truly improve the user experience.

Organizer:

Course Website: https://www.cs.cmu.edu/~bam/ixtshortcourse/

Description: Interaction techniques (IxTs) are the low-level reusable building blocks out of which user interfaces are constructed. Examples include physical buttons, menus and scrollbars, touchscreen gestures such as flicking, text entry on computers and touchscreens, input for virtual reality, interactions with conversational agents, etc. UX professionals and researchers will often need to decide which IxTs to use, or even to invent new ones. This course will discuss the history of IxTs, and complexities and appropriate evaluations when designing new ones. The content of this course will be based Brad Myers’s university courses and book on this topic.

Organizers:

Course Website: https://www.yorku.ca/mack/CHI2025/

Description: Most attendees at CHI conferences will agree that an experiment (user study) is the hallmark of good research in human-computer interaction. But what constitutes an experiment? And how does one go from an experiment to a CHI paper? This course will teach how to pose testable research questions, how to make and measure observations, and how to design and conduct an HCI experiment. Specifically, attendees will participate in a real experiment to gain experience as both an investigator and as a participant. The second session covers the statistical tools typically used to analyze data. Most notably, attendees will learn how to organize experiment results and write a CHI paper.

Organizer:

Course Website: https://sites.google.com/umd.edu/genaidesignthinking

Description: Generative AI is transforming UX design, and this course expands your design toolkit to leverage ChatGPT and DALL-E to save time and elevate your end-to-end design process. Classic methods like personas gain power. New approaches like “design reasoning at scale” automate UX workflows and use data pipelines, while “design reasoning in depth” applies new narrative methods. Learn prompting shorthand and prompt patterns. Explore simulation and time-saving UX research tools, and discover new ideation methods. Filter, score, select, and refine ideas. Apply AI to interaction and visual design while understanding ChatGPT’s limitations and pushing its boundaries.